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基于智能手机的GNSS位置和速度跟踪对滑雪坡和安全管理的准确性评估
Davide Petrella1, Lynn Ellenberger2, Matthias Gilgien3,4
1Department of Movement Sciences, KU Leuven, Leuven, Belgium.
PloS one
|August 13, 2025
概括
智能手机全球导航卫星系统 (GNSS) 数据为滑雪者提供可靠的速度估计,但位置准确性因设备和环境而异. 滑雪胜地可以使用这些运动数据进行斜坡规划,并谨慎进行精确的事故分析.
科学领域:
- 运动科学 运动科学 运动科学
- 地理学工程 工程地质学
- 人与计算机的交互
背景情况:
- 集成全球导航卫星系统 (GNSS) 的智能手机被广泛用于超越通信的定位和跟踪.
- 通过分析来自流行的追踪应用程序的滑雪者运动数据,可以提高滑雪场的安全性.
研究的目的:
- 评估智能手机GNSS数据的准确性,用于滑雪坡安全应用.
- 在不同的智能手机机型号和GNSS应用中比较位置和速度数据的准确性.
主要方法:
- 从四个智能手机应用程序 (iSKI,Skitude,Slopes,Strava) 在四个智能手机模型上的位置和速度数据与差异GNSS (dGNSS) 参考系统进行了比较.
- 在两个滑雪场 (冬季2022/23年) 收集数据,智能手机以1赫兹和50赫兹的dGNSS记录.
- 分析了下坡跑步,计算位置精度的欧几里德距离和速度精度的平均误差.
主要成果:
- 高端智能手机提供了更准确的位置数据 (约. 4米的误差) 比低端型号 (大约. 错误为6米). 错误为6米.
- 所有设备的速度数据都是可靠的,平均误差<1.9公里/小时.
- 精度随着速度的提高而下降,并受到环境因素的影响;对于精确的位置依赖评估,dGNSS是优越的.
结论:
- 智能手机GNSS数据,特别是速度,对于分析非精确的位置依赖参数,如斜坡利用率和用户密度,是可靠的.
- 虽然位置数据的准确性有所不同,但清理的速度数据可以可靠地估计滑雪者的速度,使得应用程序中的数据聚合能够使用一致的方法.
- 未来的智能手机技术进步有望提高准确性;建议在开放的地形中使用数据,并谨慎进行精确的事故分析.
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